Associate Principal - Architecture

LTM; Plano (TX); On-site; Full time

Benefits offered by this job

Comprehensive Medical Plan

401(k) Plan with Company match

Paid Maternity and Paternity Leave

Vacation Time

Job summary

A leading technology solutions provider is seeking a skilled AIML Solutions Architect to lead the design and implementation of cutting-edge AI solutions. This role entails evaluating market trends, developing enterprise recommendations, and mentoring teams in AI technologies including generative AI and large language models. Candidates should possess a strong STEM degree, extensive AIML experience, and excellent communication skills to convey complex concepts to diverse stakeholders. The position offers a competitive benefits package including health coverage and retirement plans.

Qualifications

• Strong quantitative background with a degree in STEM or MBA.
• Deep knowledge of AIML technology across AWS, Azure, and GCP.
• Proven experience with data exploration and feature engineering.

Responsibilities

• Evaluate market solutions for AIML and develop recommendations.
• Collaborate with teams on the design and selection of AIML solutions.
• Conduct model experimentation and technical validation.

Skills

Technical and commercial understanding

Ability to learn emerging technologies

Excellent communication skills

Experience with Generative AI

Education

Bachelor’s degree in STEM or MBA

Tools

AWS

Azure

GCP

Data science tools and frameworks

Job description

Evaluate market solutions and evolving platforms for AIML and assess fitment to client demands, ROI analysis readiness and develop enterprise recommendations.

Collaborate with business and technology teams in the design, prototyping, and selection of AIML solutions needed to deliver business value.

Continuous outside‑in scanning to facilitate continuous learning, hands‑on understanding, and adoption of AI Solutions Architecture industry standard methodologies and techniques.

Architect and help build enterprise solutions which include components across the Artificial Intelligence spectrum such as Machine Learning, generative AI, DeepLearning, Virtual Assistants, and Cognitive Services (e.g., Vision, Image, Textual, Language processing).

Assist in the development of roadmaps for AI, machine learning, and other advanced analytics areas (e.g., NLP, NLQ, LLMs, Agentic AI, MCP, A2A, Computer vision, ML platforms, open‑source libraries, event‑driven stream processing, data lakes).

Rapid Proof‑of‑Concept (PoC) Development: independently and quickly build functional prototypes and PoCs to test new AI models, algorithms, and approaches to solve specific business problems.

Model Experimentation: conduct hands‑on testing with various machine learning models, including finetuning large language models (LLMs), training custom models and evaluating their performance using appropriate metrics.

Technical Validation: quickly set up and test new tools, APIs, and frameworks to validate their capabilities and suitability for large‑scale implementation.

Architectural Mentorship: offer support and mentorship to data science and engineering teams throughout the development, deployment, and operationalization of AI models.

System Integration Design: facilitate the integration of AIML models into existing enterprise applications, APIs, and business workflows.

What You’ll Do

See responsibilities above.

To Be Successful

Have an excellent technical and commercial understanding in the creation of technology solutions and outcomes for customers.

Ability to learn emerging technologies and to apply these technologies to tackle business problems.

Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in AIML, Ops Engineering, and cloud‑native solutions.

Excellent written, verbal, and presentation communication skills; you will often find yourself in situations where you describe problem statements, solution options, your analysis and recommendations to a mix of technical and non‑technical stakeholders, using strong influencing skills to gain consensus and an agreed way forward.

Driven digital transformation roadmaps targeting operating models, cost reduction, and performance improvement.

What You’ll Need

Minimum bachelor’s degree qualification with a strong quantitative background (STEM education background; Science, Technology, Engineering, Mathematics), and/or an MBA preferred.

Deep knowledge of AIML tech across AWS, Azure, and GCP.

Understanding of cloud‑native services for data storage, compute, networking, and security.

Proven grasp of statistical concepts (e.g., hypothesis testing, probability distributions, regression analysis).

Experience with data exploration, feature engineering, and data preprocessing techniques.

Technical proficiency:

• 5 years of hands‑on AIML solution architecture, prototyping, and experimentation.
• 5 years of AWS/Azure data analytics and AI services.
• 3 years of hands‑on experience with data science tools and frameworks.
• Recent experience in Generative AI, Large Language Models (LLMs), Agentic AI platforms and solutions.

Benefits and Perks

• Comprehensive Medical Plan covering Medical, Dental, Vision.
• Short‑Term and Long‑Term Disability Coverage.
• 401(k) Plan with Company match.
• Life Insurance.
• Vacation Time, Sick Leave, Paid Holidays.
• Paid Paternity and Maternity Leave.

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Individual pay is determined by work location, job level, and additional factors including job‑related skills, experience, and relevant education or training.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity or expression, national origin, ancestry, age, family‑care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectionate or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.